The establishment of new therapeutic strategies for metabolic syndrome is urgently needed
because metabolic syndrome, which is characterized by several disorders, such as …

Identifying early warning signals of critical transitions during disease progression is a key to
achieving early diagnosis of complex diseases. By exploiting rich information of high …

This paper reviews theory of DNB (Dynamical Network Biomarkers) and its applications
including both modern medicine and traditional medicine. We show that omics data such as …

Background The progression of complex diseases, such as diabetes and cancer, is
generally a nonlinear process with three stages, ie, normal state, pre-disease state, and …

Non-smooth or even abrupt state changes exist during many biological processes, eg, cell
differentiation processes, proliferation processes, or even disease deterioration processes …

Abstract Background Type 1 diabetes (T1D) is a complex disease and harmful to human
health, and most of the existing biomarkers are mainly to measure the disease phenotype …

Many studies have been carried out for early diagnosis of complex diseases by finding
accurate and robust biomarkers specific to respective diseases. In particular, recent rapid …

Dynamic network biomarkers (DNB) can identify the critical state or tipping point of a
disease, thereby predicting rather than diagnosing the disease. However, it is difficult to …

There is no effective cure nowadays for many complex diseases, and thus it is crucial to
detect and further treat diseases in earlier stages. Generally, the development and …

Considerable evidence suggests that during the progression of complex diseases, the
deteriorations are not necessarily smooth but are abrupt and may cause a critical transition …